Instructions to use WaveCut/Anima-Preview-3-SDNQ-uint4-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use WaveCut/Anima-Preview-3-SDNQ-uint4-diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("WaveCut/Anima-Preview-3-SDNQ-uint4-diffusers", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Cosmos
How to use WaveCut/Anima-Preview-3-SDNQ-uint4-diffusers with Cosmos:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
| { | |
| "architectures": [ | |
| "Qwen3Model" | |
| ], | |
| "model_type": "qwen3", | |
| "vocab_size": 151936, | |
| "hidden_size": 1024, | |
| "intermediate_size": 3072, | |
| "num_hidden_layers": 28, | |
| "num_attention_heads": 16, | |
| "num_key_value_heads": 8, | |
| "head_dim": 128, | |
| "hidden_act": "silu", | |
| "max_position_embeddings": 32768, | |
| "rms_norm_eps": 1e-06, | |
| "rope_theta": 1000000.0, | |
| "attention_bias": false, | |
| "attention_dropout": 0.0, | |
| "use_cache": false, | |
| "tie_word_embeddings": false, | |
| "torch_dtype": "bfloat16" | |
| } |